Tabla de Contenidos: “…-- A sample HTML5 page -- DOCTYPE and character encodings -- Some new HTML5 tags -- &lt -- header&gt -- -- &lt -- nav&gt -- -- &lt -- section&gt -- -- &lt -- article&gt -- -- &lt -- footer&gt -- -- CSS3 -- Kendo UI - building cross-browser apps made easy -- Kendo UI widgets -- Kendo UI architecture -- Kendo UI Web -- Kendo UI DataViz -- Kendo UI Mobile -- Server wrappers -- HTML5 mobile web application design guidelines -- Summary -- 2. …”

Tabla de Contenidos: “…Security - Avoiding Common Vulnerabilities -- Why you should care about security -- Path disclosure -- SQL injection -- Local File Inclusion -- Remote File Inclusion -- Cross-site scripting -- Cross-site Request Forgery -- Some quick advice -- Summary -- 9. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Setup and Introduction to TensorFlow -- The TensorFlow way of thinking -- Setting up and installing TensorFlow -- Conda environments -- Checking whether your installation works -- TensorFlow API levels -- Eager execution -- Building your first TensorFlow model -- One-hot vectors -- Splitting into training and test sets -- Creating TensorFlow graphs -- Variables -- Operations -- Feeding data with placeholders -- Initializing variables -- Training our model -- Loss functions -- Optimization -- Evaluating a trained model -- The session -- Summary -- Chapter 2: Deep Learning and Convolutional Neural Networks -- AI and ML -- Types of ML -- Old versus new ML -- Artificial neural networks -- Activation functions -- The XOR problem -- Training neural networks -- Backpropagation and the chain rule -- Batches -- Loss functions -- The optimizer and its hyperparameters -- Underfitting versus overfitting -- Feature scaling -- Fully connected layers -- A TensorFlow example for the XOR problem -- Convolutional neural networks -- Convolution -- Input padding -- Calculating the number of parameters (weights) -- Calculating the number of operations -- Converting convolution layers into fully connected layers -- The pooling layer -- 1x1 Convolution -- Calculating the receptive field -- Building a CNN model in TensorFlow -- TensorBoard -- Other types of convolutions -- Summary -- Chapter 3: Image Classification in TensorFlow -- CNN model architecture -- Cross-entropy loss (log loss) -- Multi-class cross entropy loss -- The train/test dataset split -- Datasets -- ImageNet -- CIFAR -- Loading CIFAR -- Image classification with TensorFlow -- Building the CNN graph -- Learning rate scheduling -- Introduction to the tf.data API…”

Tabla de Contenidos: “…How to Stop Feeling Guilty -- How to stop caring about what other people think -- How to boost your self-confidence -- How to celebrate yourself -- Things you don't need to justify -- Timelines don't exist -- Things you will never regret -- Chapter 15 Setting boundaries -- Why boundaries are important -- Common myths about boundaries -- Types of boundaries -- How to build healthy boundaries -- Boundaries with friends -- How to set boundaries at work -- What to do if someone crosses your boundary -- How to react if you cross someone's boundary -- Set boundaries with social media -- How to have a digital detox -- Chapter 16 Friendships -- Friendship: green flags vs red flags -- How to strengthen your friendships -- Meaningful compliments to give to someone -- Chapter 17 Relationships -- Relationship: green flags vs red flags -- Love sounds like ... -- How to show love to your partner -- Questions to deepen your connection with your partner -- Healthy relationship techniques -- How to apologise -- What to say when someone is upset -- Overcoming a break-up -- Break-up reminders -- How to be happy being single -- First date conversation starters -- Final thoughts -- EULA…”

Tabla de Contenidos: “…Model Estimation -- Types of Factors -- Idiosyncratic Risk -- APPLICATIONS OF EQUITY RISK MODELS -- Portfolio Construction -- Analyzing Portfolio Risk Using Multifactor Models -- Performance Attribution -- Factor-Based Scenario Analysis -- KEY POINTS -- NOTES -- REFERENCES -- Factor-Based Equity Portfolio Construction and Analysis -- FACTOR-BASED TRADING -- DEVELOPING FACTOR-BASED TRADING STRATEGIES -- Basic Framework and Building Blocks -- RISK TO TRADING STRATEGIES -- DESIRABLE PROPERTIES OF FACTORS -- SOURCES FOR FACTORS -- BUILDING FACTORS FROM COMPANY CHARACTERISTICS -- WORKING WITH DATA -- Data Integrity -- Potential Biases from Data -- Dealing with Common Data Issues -- Methods to Adjust Factors -- Outlier Detection and Management -- ANALYSIS OF FACTOR DATA -- Example 1: EBITDA/EV -- Example 2: Revisions -- Example 3: Share Repurchase -- KEY POINTS -- NOTES -- REFERENCES -- Cross-Sectional Factor-Based Models and Trading Strategies -- CROSS-SECTIONAL METHODS FOR EVALUATION OF FACTOR PREMIUMS -- Portfolio Sorts -- FACTOR MODELS -- Econometric Considerations for Cross-Sectional Factor Models -- Fama-MacBeth Regression -- Information Coefficients -- Factor Portfolios -- PERFORMANCE EVALUATION OF FACTORS -- MODEL CONSTRUCTION METHODOLOGIES FOR A FACTOR-BASED TRADING STRATEGY -- The Data Driven Approach -- The Factor Model Approach -- The Heuristic Approach -- The Optimization Approach -- Importance of Model Construction and Factor Choice -- BACKTESTING -- Understanding In-Sample and Out-of-Sample Methodologies -- A Comment on the Interaction between Factor-Based Strategies and Risk Models -- BACKTESTING OUR FACTOR TRADING STRATEGY -- KEY POINTS -- APPENDIX: THE COMPUSTAT POINT-IN-TIME, IBES CONSENSUS DATABASES AND FACTOR DEFINITIONS -- Value Factors -- Quality Factors -- Growth -- Momentum -- Summary Statistics -- NOTES -- REFERENCES…”

Tabla de Contenidos: “…6.3 Analysis of the report -- 6.4 Improved version of the report -- 6.5 Conclusion -- Key points -- Activities -- 7 Literature search -- Overview -- 7.1 Introduction -- 7.2 Library classification systems -- 7.3 Electronic databases -- 7.4 Obtaining articles not in your library -- 7.5 Personal bibliographic database software -- 7.6 Conclusion -- Key points -- Activities -- 8 Ethics and data management in research -- Overview -- 8.1 Introduction -- 8.2 Ethics: general principles -- 8.3 Research ethics -- 8.4 Ethics and publication -- 8.5 How to obtain a participantâ€TMs consent -- 8.6 Data management -- 8.7 Conclusion -- Key points -- Activities -- Part 2 Quantitative research methods -- 9 Basic laboratory experiments -- Overview -- 9.1 Introduction -- 9.2 Characteristics of the true or randomised experiment -- 9.3 More advanced research designs -- 9.4 Conclusion -- Key points -- Activity -- 10 Advanced experimental designs -- Overview -- 10.1 Introduction -- 10.2 Multiple levels of the independent variable -- 10.3 Multiple dependent variables -- 10.4 Factorial designs -- 10.5 Psychology and social psychology of the laboratory experiment -- 10.6 Conclusion -- Key points -- Activities -- 11 Cross-sectional or correlational research: Non-manipulation studies -- Overview -- 11.1 Introduction -- 11.2 Cross-sectional designs -- 11.3 The case for non-manipulation studies -- 11.4 Key concepts in the analysis of cross-sectional studies -- 11.5 Conclusion -- Key points -- Activities -- 12 Longitudinal studies -- Overview -- 12.1 Introduction -- 12.2 Panel designs -- 12.3 Different types of third variable -- 12.4 Analysis of non-experimental designs -- 12.5 Conclusion -- Key points -- Activities -- 13 Sampling and population surveys -- Overview -- 13.1 Introduction -- 13.2 Types of probability sampling -- 13.3 Non-probability sampling -- 13.4 National surveys…”

Tabla de Contenidos: “…Cover -- Contents -- Preface -- 1 Mechanics of Writing -- Capitalization -- What to Capitalize -- What Not to Capitalize -- Contractions -- Gerunds and Participles -- Numbers and Numerals -- Punctuating Numbers and Numerals -- Using Fractions -- Pronouns -- Technical Abbreviations, Acronyms, and Units of Measurement -- Abbreviations and Acronyms -- Units of Measurement -- Punctuation -- Apostrophe -- Colon -- Comma -- Dash (Em Dash) -- Dash (En Dash) -- Ellipsis Points -- Exclamation Point -- Hyphen -- Parentheses -- Period -- Quotation Marks -- Semicolon -- Slash -- Square Brackets -- 2 Constructing Text -- Headings -- Writing Section Headings -- Using Fonts in Headings -- Capitalizing and Punctuating Headings -- Numbering Section Headings -- Lists -- List Introduction Guidelines -- List Introductions and Verbs -- Capitalizing and Punctuating Lists -- Writing Bulleted Lists -- Writing Numbered Lists -- Writing Jump Lists -- Tables -- Writing Text for Tables -- Determining the Type of Table to Use -- Code Examples -- Error Messages -- Cross-References -- Formatting Cross-References -- Writing Cross-References -- Endnotes, Footnotes, and Bibliographies -- Writing Endnotes and Footnotes -- Writing Bibliographies -- Notes, Cautions, and Tips -- Writing Notes -- Writing Cautions -- Writing Tips -- Key Name Conventions -- Referring to Keys -- Documenting Multiple Keystrokes -- Symbol Name Conventions -- 3 Writing Style -- Why Is Style Important? …”

Tabla de Contenidos: “…Angular testing utilities&amp -- #160 -- -- Setting up the unit test environment -- Angular unit testing building blocks -- Unit testing strategies -- Unit testing the components -- Unit testing a component with an external template -- Unit testing a component with one or more dependencies -- Unit testing a component with an async service -- Component-under-test - DoctorListComponent -- External service - DoctorService -- Unit test for DoctorListComponent -- Unit testing a routed component -- Test doubles for Router and ActivatedRoute -- Unit test for a routed component -- Unit testing the services -- Service under test - DoctorService -- Unit test for DoctorService -- Summary -- Chapter 9: Securing an Angular App -- Common web application security vulnerabilities -- What is Cross-Site Scripting (XSS)? -- What is Cross-Site Script Inclusion (XSSI)? …”

Tabla de Contenidos: “…14 Level the Playing Field with a Free App -- Build a Paid App-Standalone -- Build a Free App, Build a Following -- Build a Paid App and a Free App at the Same Time -- In-App Purchases -- Free Apps with Ads -- From Paid to Free -- 15 The App Pricing Roller Coaster -- Raising Your Price -- Lowering Your Price -- Temporary Price Drops -- Value-Add Sales -- 16 App Promotions and Cross-Selling -- Promotional Marketing for iPhone/iPad Apps -- Cross-Selling and Up-Selling -- Up-Selling -- 17 Using iPhone/iPad Analytics -- Analytics Components -- Track Your App's Sales -- Track Your App's Location -- Track Your App's Usage -- Track Specific App Events -- Measure App Interface Patterns -- Top Analytics Vendors -- Flurry/Pinch Media -- Mobclix -- Analytics and Privacy -- Managing a User's Privacy Expectations -- 18 Why Have a Marketing Plan? …”

Tabla de Contenidos: “…Intelligent routing and case management for efficient support -- The mechanics of intelligent routing -- Enhanced efficiency with AI algorithms -- Case management and automated resolution -- Predictive analysis in case prioritization -- Integration with CRM systems -- Real-time adjustments for peak efficiency -- Challenges in implementation -- Real-world examples of AI-driven customer service enhancements -- Example 1 - Global bank incorporates AI for efficient customer query handling -- Example 2 - E-commerce platform utilizes AI for personalized customer support -- Example 3 - Telecom giant implements AI for streamlined case management -- Summary -- Questions -- Answers -- Chapter 5: Marketing Optimization with Dynamics 365 AI -- AI-driven customer segmentation and campaign targeting -- Advanced customer segmentation -- Machine learning and predictive analytics -- Personalization at scale -- Real-time campaign adjustments -- Seamless omnichannel marketing integration -- Ethical considerations in data handling -- Personalized recommendations and cross-selling opportunities -- Advanced personalization techniques -- Deep learning for enhanced customer insights -- Real-time recommendation engines -- Cross-selling strategies powered by AI -- Omnichannel personalization -- Utilizing customer feedback for continuous improvement -- Data-driven insights for marketing campaigns -- Ethical and responsible AI practices -- Social media sentiment analysis and brand perception insights -- Harnessing social media data -- Sentiment analysis and emotional intelligence -- Real-time brand perception tracking -- Predictive analytics for proactive brand management -- Incorporating customer feedback into strategy -- Case study - Retail brand leverages social sentiment analysis -- Real-world examples and best practices in marketing insights…”

Tabla de Contenidos: “…Primera iteración del método de Hardy Cross, corregida para el coeficiente de fricción f. -- Tabla E.6.7e. …”

Tabla de Contenidos: “…10.2.1 Accessing the user identity in the loyalty program -- 10.2.2 Limiting which microservices can communicate -- Summary -- 11 Building a reusable microservice platform -- 11.1 Creating a new microservice should be quick and easy -- 11.2 Handling cross-cutting concerns -- 11.3 Creating a reusable microservice platform -- 11.4 Packaging and sharing cross-cutting code with NuGet -- 11.4.1 Creating a logging package -- 11.4.2 Creating a package with monitoring endpoints -- 11.5 The ASP.NET pipeline -- 11.5.1 What belongs in middleware? …”

Tabla de Contenidos: “…-- 8.2 Using context to create and manage global state in a React application -- 8.3 Implementing Redux with a React Native app -- 8.4 Creating Redux reducers to hold Redux state -- 8.5 Adding the provider and creating the store -- 8.6 Accessing data using the connect function -- 8.7 Adding actions -- 8.8 Deleting items from a Redux store in a reducer -- Summary -- Part 3: API reference -- Chapter 9: Implementing cross-platform APIs -- 9.1 Using the Alert API to create cross-platform notifications -- 9.1.1 Use cases for alerts -- 9.1.2 Example of using alerts -- 9.2 Using the AppState API to detect the current application state…”

Tabla de Contenidos: “…Chapter 5 Deep Learning Algorithms and Architectures for Multimodal Data Analysis -- 5.1 Introduction to Multimodal Data Analysis -- 5.2 Overview of Deep Learning Algorithms and Architectures -- 5.2.1 Pre-Processing of the Multimodal Data -- 5.2.2 The Training Process of Deep Learning Models on Multimodal Data -- 5.2.3 Deep Learning Methods and Blockchain Technology Consortium -- 5.3 Conclusion and Future Directions -- Abbreviations -- References -- Chapter 6 Deep Learning Algorithms: Clustering and Classifications for Multimedia Data -- 6.1 Introduction -- 6.1.1 Deep Learning and Its Applications in Multimedia Data Analysis -- 6.1.2 Classification Algorithms in Deep Learning Can Be Broadly Classified into the Following Categories -- 6.1.3 Deep Learning for Clustering Multimedia Data -- 6.1.4 Types of Clustering -- 6.1.5 Classification of Clustering Algorithms in Deep Learning -- 6.1.6 List of More Comprehensive Deep Learning Clustering Algorithms -- 6.2 Deep Clustering Algorithm Challenges and the Multimedia Data -- 6.2.1 Convolutional Autoencoders for Clustering Images -- 6.2.2 Deep Convolutional Embedded Clustering for Clustering Images -- 6.2.3 Multimodal Deep Embedded Clustering for Clustering Multimodal Data -- 6.2.4 Case Studies - The Effectiveness of Deep Learning for Clustering Multimodal Data -- 6.3 Deep Learning for Classification of Multimedia Data -- 6.3.1 Incorporating Multimodal Data for Improving Classification Performance -- 6.4 Blockchain Technology and Deep Learning Algorithms in the Context of Multimodal Data -- 6.4.1 Cross-Border Blockchain Technology and Deep Learning Methods -- 6.4.2 Key Attributes of Cross-Border Blockchain Technology -- 6.4.3 Cross-Border and Deep Learning Multimodal Blockchain Technology -- 6.4.4 Future Trends and Applications of the Blockchain and Deep Learning -- 6.5 Conclusion -- Abbreviations…”

Tabla de Contenidos: “…Sparse solutions with L1 regularization -- Sequential feature selection algorithms -- Assessing feature importance with random forests -- Summary -- Chapter 5: Compressing Data via Dimensionality Reduction -- Unsupervised dimensionality reduction via principal component analysis -- The main steps behind principal component analysis -- Extracting the principal components step by step -- Total and explained variance -- Feature transformation -- Principal component analysis in scikit-learn -- Supervised data compression via linear discriminant analysis -- Principal component analysis versus linear discriminant analysis -- The inner workings of linear discriminant analysis -- Computing the scatter matrices -- Selecting linear discriminants for the new feature subspace -- Projecting samples onto the new feature space -- LDA via scikit-learn -- Using kernel principal component analysis for nonlinear mappings -- Kernel functions and the kernel trick -- Implementing a kernel principal component analysis in Python -- Example 1 - separating half-moon shapes -- Example 2 - separating concentric circles -- Projecting new data points -- Kernel principal component analysis in scikit-learn -- Summary -- Chapter 6: Learning Best Practices for Model Evaluation and Hyperparameter Tuning -- Streamlining workflows with pipelines -- Loading the Breast Cancer Wisconsin dataset -- Combining transformers and estimators in a pipeline -- Using k-fold cross-validation to assess model performance -- The holdout method -- K-fold cross-validation -- Debugging algorithms with learning and validation curves -- Diagnosing bias and variance problems with learning curves -- Addressing over- and underfitting with validation curves -- Fine-tuning machine learning models via grid search -- Tuning hyperparameters via grid search -- Algorithm selection with nested cross-validation…”

Tabla de Contenidos: “…. -- How it works... -- Solving Cross-Site Request Forgery (CSRF) and session fixation attacks -- Getting started -- How to do it... -- How it works... -- Solving Cross-Site Scripting (XSS) and clickjacking attacks -- Getting started -- How to do it... -- How it works... -- Creating interceptors for login data validation -- Getting started -- How to do it... -- How it works... -- Chapter 5: Cross-Cutting the MVC -- Logging and auditing service methods -- Getting started -- How to do it... -- How it works... -- Managing DAO transactions -- Getting started -- How to do it... -- How it works... -- Monitoring services and request handlers -- Getting started -- How to do it... -- How it works... -- Validating parameters and arguments -- Getting started -- How to do it... -- How it works... -- Managing exceptions -- Getting started -- How to do it... -- How it works... -- Implementing the caching mechanism -- Getting started -- How to do it... -- How it works... -- Intercepting request transactions -- Getting started -- How to do it... -- How it works... -- Implementing user authentication -- Getting started -- How to do it... -- How it works... -- Accessing with restrictions -- Getting started -- How to do it... -- How it works…”

Tabla de Contenidos: “…Case Study: Assessing the Production Acceptance Process at Seven Diverse Companies -- The Seven Companies Selected -- Selected Companies Comparison in Summary -- Summary -- Test Your Understanding -- Suggested Further Readings -- Chapter 10 Change Management -- Introduction -- Definition of Change Management -- Drawbacks of Most Change Management Processes -- Key Steps Required in Developing a Change Management Process -- Step 1: Identify an Executive Sponsor -- Step 2: Assign a Process Owner -- Step 3: Select a Cross-Functional Process Design Team -- Step 4: Arrange for Meetings of the Cross-Functional Process Design Team -- Step 5: Establish Roles and Responsibilities for Members Supporting the Process Design Team -- Step 6: Identify the Benefits of a Change Management Process -- Step 7: If Change Metrics Exist, Collect and Analyze them -- If Not, Set Up a Process to Do So -- Step 8: Identify and Prioritize Requirements -- Step 9: Develop Definitions of Key Terms -- Step 10: Design the Initial Change Management Process -- Step 11: Develop Policy Statements -- Step 12: Develop a Charter for a Change Advisory Board (CAB) -- Step 13: Use the CAB to Continually Refine and Improve the Change Management Process -- Emergency Changes Metric -- Assessing an Infrastructure's Change Management Process -- Measuring and Streamlining the Change Management Process -- Summary -- Test Your Understanding -- Suggested Further Readings -- Chapter 11 Problem Management -- Introduction -- Definition of Problem Management -- Scope of Problem Management -- Distinguishing Between Problem, Change, and Request Management -- Distinguishing Between Problem Management and Incident Management -- The Role of the Service Desk -- Segregating and Integrating Service Desks -- Key Steps to Developing a Problem Management Process -- Step 1: Select an Executive Sponsor…”

Tabla de Contenidos: “…Evaluating the integral -- Case 3: Distinct quadratic factors -- Setting up partial fractions -- Solving for unknowns A, B, and C -- Evaluating the integral -- Case 4: Repeated quadratic factors -- Setting up partial fractions -- Solving for unknowns A, B, C, and D -- Evaluating the integral -- Beyond the Four Cases: Knowing How to Set Up Any Partial Fraction -- Integrating Improper Rationals -- Distinguishing proper and improper rational expressions -- Trying out an example -- Part 5 Applications of Integrals -- Chapter 12 Forging into New Areas: Solving Area Problems -- Breaking Us in Two -- Improper Integrals -- Getting horizontal -- Going vertical -- Handling asymptotic limits of integration -- Piecing together discontinuous integrands -- Finding the Unsigned Area of Shaded Regions on the xy-Graph -- Finding unsigned area when a region is separated horizontally -- Crossing the line to find unsigned area -- Calculating the area under more than one function -- Measuring a single shaded region between two functions -- Finding the area of two or more shaded regions between two functions -- The Mean Value Theorem for Integrals -- Calculating Arc Length -- Chapter 13 Pump Up the Volume: Using Calculus to Solve 3-D Problems -- Slicing Your Way to Success -- Finding the volume of a solid with congruent cross sections -- Finding the volume of a solid with similar cross sections -- Measuring the volume of a pyramid -- Measuring the volume of a weird solid -- Turning a Problem on Its Side -- Two Revolutionary Problems -- Solidifying your understanding of solids of revolution -- Skimming the surface of revolution -- Finding the Space Between -- Playing the Shell Game -- Peeling and measuring a can of soup -- Using the shell method without inverses -- Knowing When and How to Solve 3-D Problems -- Chapter 14 What's So Different about Differential Equations?…”

Tabla de Contenidos: “…. -- There's more... -- Running KNN with cross-validation in place of a validation partition -- Using a convenience function to run KNN -- Using a convenience function to run KNN for multiple k values -- See also -- Performing linear regression -- Getting ready -- How to do it... -- How it works... -- There's more... -- Forcing lm to use a specific factor level as the reference -- Using other options in the formula expression for linear models -- See also -- Performing variable selection in linear regression -- Getting ready -- How to do it... -- How it works... -- See also -- Building regression trees -- Getting ready -- How to do it... -- How it works... -- There's more... -- Generating regression trees for data with categorical predictors -- Generating regression trees using the ensemble method - Bagging and Boosting -- See also -- Building random forest models for regression -- Getting ready -- How to do it... -- How it works... -- There's more... -- Controlling forest generation -- See also -- Using neural networks for regression -- Getting ready -- How to do it... -- How it works... -- See also -- Performing k-fold cross-validation -- Getting ready -- How to do it... -- How it works... -- See also -- Performing leave-one-out cross-validation to limit overfitting -- How to do it…”

Tabla de Contenidos: “…Governments Expenditure -- Export -- Consumption in the Process of Import Distribution -- Monetary Policy and Liquidity -- Inflation -- Interest Rates -- International Influences -- Consumer Sentiment -- Fiscal Policy -- Long-term Growth Expectations -- Technology Effect -- Labour Effect -- Capital Effect -- One Contributing Factors -- Influences on Short-term Expectations -- Forecasting Models -- Structural or Cross-sectional Econometric Models -- Time Series Econometric Models -- Structural Time Series Models-A Hybrid -- Applications of Economic Analysis -- Economic Analysis and International Investment -- Cross-border Investments -- International Comparison of Institutional Investors -- Summary -- Concepts -- Short Questions -- Essay Questions -- Case Study -- Chapter 10: Fundamental Analysis II: Industry Analysis -- Standard Industrial Classification (SIC) -- Links between the Economy and Industry Sectors -- The Stock Market and the Business Cycle -- Data Needs for an Industry Analysis -- Data Categories -- Tools for Industry Analysis -- Cross-sectional Industry Performance -- Industry Performance over Time -- Differences in Industry Risk -- Prediction about Market Behaviour -- Quantitative Industry Analysis -- Analyzing Employment Data -- Data Selection -- Estimating the Duration of Analysis -- Estimating a Base Year -- Quantitative Tools for Analyzing Employment Status -- Analysis of Emoluments Data -- Total Emoluments by Industry -- Emoluments per Employee by Industry -- Change in Emolument per Employee by Industry -- National Comparison of Average Emolument per Employee -- Input-Output Analysis -- Industry Earning Data Analysis -- Infrastructure Sector -- Indian Textile Industry -- Spinning Industry -- Weaving and Knitting Industry -- Indian Fabric Processing Industry -- Garment Manufacturing Sector -- Steel Industry -- Cyclical Industries…”